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Issue No.02 - March/April (2011 vol.31)
pp: 86-95
Nathan Goulding-Hotta , University of California, San Diego
Jack Sampson , University of California, San Diego
Ganesh Venkatesh , University of California, San Diego
Saturnino Garcia , University of California, San Diego
Joe Auricchio , University of California, San Diego
Po-Chao Huang , Univesity of California, San Diego
Manish Arora , University of California, San Diego
Siddhartha Nath , University of California, San Diego
Vikram Bhatt , University of California, San Diego
Jonathan Babb , University of California, San Diego
Steven Swanson , University of California, San Diego
Michael Bedford Taylor , University of California, San Diego
ABSTRACT
<p>Dark silicon has emerged as the fundamental limiter in modern processor design. The GreenDroid mobile application processor demonstrates an approach that uses dark silicon to execute general-purpose smartphone applications with 11 times less energy than today's most energy-efficient designs.</p>
INDEX TERMS
conservation core, utilization wall, dark silicon, heterogeneous many-core systems, c-core, GreenDroid, mobile application processor
CITATION
Nathan Goulding-Hotta, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Po-Chao Huang, Manish Arora, Siddhartha Nath, Vikram Bhatt, Jonathan Babb, Steven Swanson, Michael Bedford Taylor, "The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future", IEEE Micro, vol.31, no. 2, pp. 86-95, March/April 2011, doi:10.1109/MM.2011.18
REFERENCES
1. G. Venkatesh et al., "Conservation Cores: Reducing the Energy of Mature Computations," Proc. 15th Int'l Conf. Architectural Support for Programming Languages and Operating Systems, ACM Press, 2010, pp. 205-218.
2. R. Dennard et al., "Design of Ion-Implanted MOSFET's with Very Small Physical Dimensions," IEEE J. Solid-State Circuits, vol. 9, no. 5, 1974, pp. 256-268.
3. J. Sampson et al., "Efficient Complex Operators for Irregular Codes," Proc. 17th IEEE Int'l Symp. High Performance Computer Architecture, IEEE Press, 2011, pp. 491-502.
4. M. Taylor et al., "The Raw Microprocessor: A Computational Fabric for Software Circuits and General Purpose Programs," IEEE Micro, vol. 22, no. 2, 2002, pp. 25-35.
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